Select Publications
Preprints
, 2025, Comparing privacy notions for protection against reconstruction attacks in machine learning, http://dx.doi.org/10.48550/arxiv.2502.04045
, 2024, An Extension of the Adversarial Threat Model in Quantitative Information Flow, http://dx.doi.org/10.48550/arxiv.2409.04108
, 2024, An Algorithm for Enhancing Privacy-Utility Tradeoff in the Privacy Funnel and Other Lift-based Measures, http://dx.doi.org/10.48550/arxiv.2408.09659
, 2024, Generalization of the Fano and Non-Fano Index Coding Instances, http://dx.doi.org/10.48550/arxiv.2407.12215
, 2024, Information Density Bounds for Privacy, http://dx.doi.org/10.48550/arxiv.2407.01167
, 2024, Bayes' capacity as a measure for reconstruction attacks in federated learning, http://dx.doi.org/10.48550/arxiv.2406.13569
, 2024, Privacy-Utility Tradeoff Based on $\alpha$-lift, http://dx.doi.org/10.48550/arxiv.2406.06990
, 2024, Group Complete-$\{s\}$ Pliable Index Coding, http://dx.doi.org/10.48550/arxiv.2405.07151
, 2024, $\alpha$-leakage by R\'{e}nyi Divergence and Sibson Mutual Information, http://dx.doi.org/10.48550/arxiv.2405.00423
, 2024, Cooperative Jamming for Physical Layer Security Enhancement Using Deep Reinforcement Learning, http://arxiv.org/abs/2403.10342v1
, 2024, Quantifying Privacy via Information Density, http://dx.doi.org/10.48550/arxiv.2402.12967
, 2024, A Cross Entropy Interpretation of R{\'{e}}nyi Entropy for $\alpha$-leakage, http://dx.doi.org/10.48550/arxiv.2401.15202
, 2023, Optimal Binary Differential Privacy via Graphs, http://dx.doi.org/10.48550/arxiv.2310.20486
, 2023, Generalized Rainbow Differential Privacy, http://dx.doi.org/10.48550/arxiv.2309.05871
, 2023, Preferential Pliable Index Coding, http://dx.doi.org/10.48550/arxiv.2305.06577
, 2023, On the Lift, Related Privacy Measures, and Applications to Privacy-Utility Tradeoffs, http://dx.doi.org/10.48550/arxiv.2303.01017
, 2022, Age of Information in Downlink Systems: Broadcast or Unicast Transmission?, http://dx.doi.org/10.48550/arxiv.2210.15078
, 2022, Explaining epsilon in local differential privacy through the lens of quantitative information flow, http://dx.doi.org/10.48550/arxiv.2210.12916
, 2022, Network-Controlled Physical-Layer Security: Enhancing Secrecy Through Friendly Jamming, http://arxiv.org/abs/2206.06646v1
, 2022, Asymmetric Local Information Privacy and the Watchdog Mechanism, http://dx.doi.org/10.48550/arxiv.2205.14549
, 2022, Information Leakage in Index Coding, http://dx.doi.org/10.48550/arxiv.2205.10821
, 2022, Information Leakage in Index Coding With Sensitive and Non-Sensitive Messages, http://dx.doi.org/10.48550/arxiv.2205.10827
, 2022, Heterogeneous Differential Privacy via Graphs, http://dx.doi.org/10.48550/arxiv.2203.15429
, 2022, Rainbow Differential Privacy, http://dx.doi.org/10.48550/arxiv.2202.03974
, 2022, On the Optimality of Linear Index Coding over the Fields with Characteristic Three, http://dx.doi.org/10.48550/arxiv.2201.10057
, 2021, The Age of Information of Short-Packet Communications: Joint or Distributed Encoding?, http://dx.doi.org/10.48550/arxiv.2111.02638
, 2021, Offset-Symmetric Gaussians for Differential Privacy, http://dx.doi.org/10.48550/arxiv.2110.06412
, 2021, Enhancing Utility in the Watchdog Privacy Mechanism, http://dx.doi.org/10.48550/arxiv.2110.04724
, 2021, On Converse Results for Secure Index Coding, http://dx.doi.org/10.48550/arxiv.2105.07211
, 2021, Differential Privacy for Binary Functions via Randomized Graph Colorings, http://dx.doi.org/10.48550/arxiv.2102.05172
, 2021, Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective, http://dx.doi.org/10.48550/arxiv.2102.01908
, 2021, Broadcast Rate Requires Nonlinear Coding in a Unicast Index Coding Instance of Size 36, http://dx.doi.org/10.48550/arxiv.2102.01526
, 2021, $\alpha$-Information-theoretic Privacy Watchdog and Optimal Privatization Scheme, http://dx.doi.org/10.48550/arxiv.2101.10551
, 2021, An Update-based Maximum Column Distance Coding Scheme for Index Coding, http://dx.doi.org/10.48550/arxiv.2101.08970
, 2020, On Properties and Optimization of Information-theoretic Privacy Watchdog, http://dx.doi.org/10.48550/arxiv.2010.09367
, 2020, Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of $3 \choose 2$, http://dx.doi.org/10.48550/arxiv.2008.09702
, 2020, Independent User Partition Multicast Scheme for the Groupcast Index Coding Problem, http://dx.doi.org/10.48550/arxiv.2004.02076
, 2020, Secure Index Coding with Security Constraints on Receivers, http://dx.doi.org/10.48550/arxiv.2001.07296
, 2020, Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding, http://dx.doi.org/10.48550/arxiv.2001.06828
, 2019, Part I: Improving Computational Efficiency of Communication for Omniscience, http://dx.doi.org/10.48550/arxiv.1912.11808
, 2019, Part II: A Practical Approach for Successive Omniscience, http://dx.doi.org/10.48550/arxiv.1912.11814
, 2019, Improved Lower Bounds for Pliable Index Coding using Absent Receivers, http://dx.doi.org/10.48550/arxiv.1909.11850
, 2019, Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience, http://dx.doi.org/10.48550/arxiv.1903.01001
, 2019, Attaining Fairness in Communication for Omniscience, http://dx.doi.org/10.48550/arxiv.1902.03706
, 2018, On the Capacity Region for Secure Index Coding, http://dx.doi.org/10.48550/arxiv.1809.03615
, 2018, Fairness in Multiterminal Data Compression: A Splitting Method for The Egalitarian Solution, http://dx.doi.org/10.48550/arxiv.1805.01583
, 2018, Distributed Data Compression in Sensor Clusters: A Maximum Independent Flow Approach, http://dx.doi.org/10.48550/arxiv.1804.01773
, 2018, Fairness in Multiterminal Data Compression: Decomposition of Shapley Value, http://dx.doi.org/10.48550/arxiv.1804.01785
, 2018, On the Packet Decoding Delay of Linear Network Coded Wireless Broadcast, http://dx.doi.org/10.48550/arxiv.1802.02727
, 2018, Capacity Theorems for Distributed Index Coding, http://dx.doi.org/10.48550/arxiv.1801.09063